Smoothing Spline Semiparametric Density Models-Reference-Cited by-同舟云学术

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Smoothing Spline Semiparametric Density Models

Published:2020-06-30 Issue: Volume: Page:1-14
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Yu Jiahui¹,Shi Jian²,Liu Anna³,Wang Yuedong⁴

Affiliation:

1. Department of Mathematics and Statistics, Boston University, Boston, MA;

2. PayPal, San Jose, CA;

3. Department of Mathematics and Statistics, University of Massachusetts, Amherst, MA;

4. Department Statistics and Applied Probability, University of California, Santa Barbara, CA

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2020.1769636

Reference44 articles.

1. Separate sample logistic discrimination

2. Semiparametric estimation of a two-component mixture model

3. Quantile processes for semi and nonparametric regression

4. Joint asymptotics for semi-nonparametric regression models with partially linear structure

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Penalized unimodal spline density estimation with application to M-estimation;Journal of Statistical Planning and Inference;2023-05

2. Evaluation of geopolymer concrete at high temperatures: An experimental study using machine learning;Journal of Cleaner Production;2022-10

3. Monte Carlo and Quasi–Monte Carlo Density Estimation via Conditioning;INFORMS Journal on Computing;2022-05

4. On semiparametric inference for periodically modulated density functions;Communications in Statistics - Theory and Methods;2022-04-22

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